A Theory of Strategic Administrative Intelligence in Modern Secretarial Practice

Thesis Abstract

The rapid digitization of administrative environments and the widening scope of executive-support responsibilities demand a coherent theoretical lens to understand how secretarial professionals strategically mobilize information, technologies, and relational networks to add organizational value. Despite advances in office technology and managerial support roles, there remains a fragmented understanding of how strategic administrative intelligence—the integrated capability to sense, interpret, and act upon emergent organizational signals—is constructed, operationalized, and sustained within modern secretarial practice. This study aims to develop a theory of strategic administrative intelligence (SAI) in contemporary secretarial work, articulating its core constructs, processes, and outcomes, and to validate the theory across varied organizational settings. The specific objectives are (1) to delineate the construct of strategic administrative intelligence, including sensing, sensemaking, decision-licensing, and action orchestration, within secretarial practice; (2) to identify the antecedents (individual competencies, digital literacy, social networks, and organizational support) and moderators (organizational culture, governance structures, and technology infrastructure) of SAI; (3) to examine how SAI influences key organizational outcomes such as information governance, process efficiency, risk mitigation, and strategic alignment; (4) to develop a parsimonious theoretical framework linking SAI to performance metrics and service quality in executive administration; and (5) to generate practical guidelines for professional training and governance that enhance SAI. A mixed-methods design will be employed. The quantitative strand will involve a cross-sectional survey of 380 secretarial professionals and executive assistants across manufacturing, financial services, and public administration sectors, using validated scales for strategic intelligence, digital proficiency, collaboration quality, and perceived organizational impact. Structural equation modeling (SEM) will test the hypothesized pathways linking antecedents to SAI and from SAI to performance outcomes, with model fit assessed via RMSEA, CFI, and TLI. The qualitative strand will comprise 40 in-depth interviews with senior secretaries, office managers, and executives, analyzed through thematic analysis to elucidate contextual nuances, sensemaking routines, and emergent practices not captured by survey items. Triangulation will integrate results, and a small number of case studies (six organizations) will illuminate boundary conditions. The study is expected to reveal that SAI emerges from an integrated configuration of individual digital literacy, proactive information seeking, relational networking, and organizational scaffolding, moderated by leadership support and technology maturity. It is anticipated that higher SAI will be positively associated with improved information governance, reduced process cycle times, lower error rates in administrative tasks, and enhanced alignment of operational activities with strategic goals. The analysis will also identify that organizations with formalized SAI development programs—encompassing training, mentorship, and governance policies—exhibit stronger predictive validity of SAI on performance outcomes. Theoretical contributions include the formalization of SAI as a core capability within the secretarial domain, integrating elements from resource-based view, dynamic capabilities, and information processing theory to explain how mundane administrative tasks become strategic through intelligent synthesis of data, people, and processes. The study will also extend strategic practice literature by situating administrative intelligence at the intersection of technology-enabled work, organizational routines, and executive governance. Methodological contributions comprise a validated measurement model for SAI constructs and a robust mixed-methods framework for studying strategic administrative phenomena. Practical implications involve the design of targeted professional development programs that cultivate digital fluency, analytical reasoning, and collaborative problem-solving for secretaries; the refinement of information governance policies tailored to administrative work; and guidance for managers on structuring roles and processes to nurture SAI. Policy implications include recommendations for standardizing secretarial competencies within human resource and governance frameworks to elevate the strategic contribution of administrative staff. The study concludes that strategic administrative intelligence constitutes a distinctive, measurable capability that enhances executive support and organizational performance when supported by coherent governance, technology maturity, and continuous learning. Recommendations include embedding SAI development into credentialing programs for secretarial practice, creating organizational dashboards to monitor SAI indicators, and adopting a phased implementation plan that aligns SAI initiatives with broader digital transformation efforts.